Triple

T24422707
Position Surface form Disambiguated ID Type / Status
Subject France vs Mexico (1930 FIFA World Cup) E615766 entity
Predicate goalScorerForMexico P2695 FINISHED
Object Juan Carreño NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Juan Carreño | Statement: [France vs Mexico (1930 FIFA World Cup), goalScorerForMexico, Juan Carreño]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalScorerForMexico
Context triple: [France vs Mexico (1930 FIFA World Cup), goalScorerForMexico, Juan Carreño]
  • A. goalScorer chosen
    Indicates that the subject is the player who scored a particular goal in a game or match.
  • B. recordGoalScorer_MLSGoals
    Indicates that an entity is recorded as the player who scored a particular goal in an MLS (Major League Soccer) match or goal event.
  • C. sharesUSMNTScoringRecordWith
    Indicates that two individuals are tied for the same number of goals scored for the United States Men's National Soccer Team (USMNT), sharing a scoring record.
  • D. positionInMexicanFootball
    Indicates that one entity holds a specific role or position within the organizational or competitive structure of Mexican football.
  • E. finalGoalscorer
    Indicates that an entity is the player who scored the last goal in a particular match or event.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296a4285881909376560f1cf4bf62 completed April 29, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:14 a.m.